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contributor authorMadden, R. A.
contributor authorShea, D. J.
contributor authorBranstator, G. W.
contributor authorTribbia, J. J.
contributor authorWeber, R. O.
date accessioned2017-06-09T15:19:06Z
date available2017-06-09T15:19:06Z
date copyright1993/06/01
date issued1993
identifier issn0894-8755
identifier otherams-4031.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4178746
description abstractA long time series of data simulated by the NCAR Community Climate Model is used to empirically determine the effects of imperfect spatial and temporal sampling on estimates of the model's global-mean surface air temperature. Results determined from a simple statistical sampling equation and those determined from a simple Monte Carlo experiment are shown to be reasonably similar to the empirically determined ones. The results provide insights into the spatial sampling problem, and it is proposed that variations of the simple models can be used in studies of real data to arrive at reasonable estimates of error that are directly applicable to the actual global-mean surface temperature.
publisherAmerican Meteorological Society
titleThe Effects of Imperfect Spatial and Temporal Sampling on Estimates of the Global Mean Temperature: Experiments with Model Data
typeJournal Paper
journal volume6
journal issue6
journal titleJournal of Climate
identifier doi10.1175/1520-0442(1993)006<1057:TEOISA>2.0.CO;2
journal fristpage1057
journal lastpage1066
treeJournal of Climate:;1993:;volume( 006 ):;issue: 006
contenttypeFulltext


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